JP2015504557A5 - - Google Patents

Claims (14)

A method for generating cost data used to generate a route in an electronic map of a navigable segment comprising:
Receiving probe data from a plurality of users, the probe data comprising, for each user, movement data representing the movement of the user with respect to time and at least one physical movement associated with the movement of the user with time; Body movement data representing a measured value of
Processing the received probe data for each user using a capability profile for a user to generate normalized route cost data for one or more navigable segments of the electronic map;
Associating the route cost data with the one or more navigable segments of the electronic map;
A method comprising the steps of: The probe data includes body movement data associated with movement data representing movement of multiple users along one or more given navigable segments of the electronic map;
The method may use the capability profile of each user to generate a normalized route cost for each of the one or more given navigable segments. The method of claim 1, comprising processing probe data from the multiple users associated with user movement along a plurality of navigable segments. The movement data is
Contains data representing the user's position with respect to time,
3. Method according to claim 1 or 2, characterized in that it optionally includes elevation data representing the user's elevation with respect to time. The probe data is received from a positioning tracking means of a personal training device configured to be transported, transported or worn by a user;
4. A method according to any one of the preceding claims, wherein the position tracking means comprises a global navigation satellite system (GNSS) receiver. The method according to claim 1, wherein the physical exercise data is a display of a user's heart rate. 6. A method as claimed in any preceding claim, wherein the capability profile is at least a function of a user's health level. The method according to claim 1, wherein the cost data is determined using a machine learning process. 8. A method according to any one of the preceding claims, wherein the cost data for the one or more navigable segments is time and / or weather dependent. 9. A method as claimed in any preceding claim, wherein the navigable segment is an off-road segment. 10. The method of claim 1, further comprising using the normalized cost data to provide the user with a suggested route based on the user's capability profile and / or one or more user specified parameters. The method according to any one of the above. The one or more user-specified parameters are:
11. The method of claim 10, wherein the method is selected from the group consisting of activity time, distance, start position, end position, segment type, and physical exercise.   A computer program comprising program code suitable for performing the method according to any one of claims 1 to 11, when executed on a computer. Data representing multiple navigable segments;
12. Route cost data generated using the method of any one of claims 1 to 11 associated with one or more of the plurality of navigable segments;
Including electronic map. A system for generating cost data used to generate a route in an electronic map of navigable segments,
Means for receiving probe data from a plurality of users, the probe data comprising, for each user, movement data representing the movement of the user with respect to time and at least one physical movement associated with the movement of the user with time; Body movement data representing measured values of
Means for processing each received probe data of each user using a capability profile for a user to generate normalized route cost data for one or more navigable segments of the electronic map;
Means for associating the route cost data with the one or more navigable segments of the electronic map;
The system characterized by having.